What risk factors are associated with Alzheimer's disease?

A large number of risk factors have been associated with Alzheimer’s disease (AD). This article discusses the validity of the major risk factors that have been identified including age, genetics, exposure to aluminium, head injury, malnutrition and diet, mitochondrial dysfunction, vascular disease, immune system dysfunction, and infection. Rare forms of early-onset familial AD (FAD) are strongly linked to the presence of specific gene mutations, viz. mutations in amyloid precursor protein (APP) and presenilin (PSEN1/2) genes. By contrast, late-onset sporadic AD (SAD) is a multifactorial disorder in which age-related changes, genetic risk factors, such as allelic variation in apolipoprotein E (Apo E) gene, vascular disease, head injury and risk factors associated with diet, the immune system, mitochondrial function, and infection may all be involved. Life-style changes that may reduce the effect of these risk factors and therefore, the risk of AD are discussed.

Conjunctival UV autofluorescence - prevalence and risk factors

Purpose: Autofluorescence of ultraviolet (UV) light has been shown to occur in localised areas of the bulbar conjunctiva, which map to active cellular changes due to UV and environmental exposure. This study examined the presence of conjunctival UV autofluorescence in eye care practitioners (ECPs) across Europe and the Middle East and its associated risk factors. Method: Images were captured of 307 ECPs right eyes in the Czech Republic, Germany, Greece, Kuwait, Netherlands, Sweden, Switzerland, United Arab Emirates and the United Kingdom using a Nikon D100 camera and dual flash units through UV filters. UV autofluorescence was outlined using ImageJ software and the nasal and temporal area quantified. Subjects were required to complete a questionnaire on their demographics and lifestyle including general exposure to UV and refractive correction. Results: Average age of the subjects was 38.5±12.2 years (range 19-68) and 39.7% were male. Sixty-two percent of eyes had some conjunctival damage as indicated by UV autofluorescence. The average area of damage was higher (p=0.005) nasally (2.95±4.52mm2) than temporally (2.19±4.17mm2). The area of UV damage was not related to age (r=0.03, p=0.674), gender (p=0.194), self-reported sun exposure lifestyle (p>0.05), geographical location (p=0174), sunglasses use (p>0.05) or UV-blocking contact lens use (p>0.05), although it was higher in those wearing contact lenses with minimal UV-blocking and no spectacles (p=0.015). The area of UV damage was also less nasally in those who wore contact lenses and spectacles compared to those with no refractive correction use (p=0.011 nasal; p=0.958 temporal). Conclusion: UV conjunctival damage is common even in Europe, Kuwait and UAE, and among ECPs. The area of damage appears to be linked with the use of refractive correction, with greater damage nasally than temporally which may be explained by the peripheral light focusing effect.

Risk factors for Alzheimer's disease

A large number of possible risk factors have been associated with Alzheimer'sdisease (AD).This chapter discusses the validity of the major risk factors that have been identifiedincluding age, genetics, exposure to aluminum, head injury, malnutrition and diet,mitochondrial dysfunction, vascular disease, immune system dysfunction, and infectionand proposes a hypothesis to explain how these various risk factors may cause ADpathology.Rare forms of early-onset familial AD (FAD) are strongly linked to the presence ofspecific gene mutations, viz. mutations in amyloid precursor protein (APP) andpresenilin (PSEN1/2) genes. By contrast, late-onset sporadic AD (SAD) is amultifactorial disorder in which age-related changes, genetic risk factors, such as allelicvariation in apolipoprotein E (Apo E) gene, vascular disease, head injury and risk factorsassociated with diet, immune system, mitochondrial function, and infection may all beinvolved.These risk factors interact to increase the rate of normal aging (=allostatic load')which over a lifetime results in degeneration of neurons and blood vessels and as aconsequence, the formation of abnormally aggregated =reactive' proteins such as ß-amyloid (Aß) and tau leading to the development of senile plaques (SP) andneurofibrillary tangles (NFT) respectively. Life-style changes that may reduce theallostatic load and therefore, the risk of dementia are discussed.

Risk factors for childhood myopia:findings from the NICER study

PURPOSE. We explored risk factors for myopia in 12- to 13-year-old children in Northern Ireland (NI). METHODS. Stratified random sampling was performed to obtain representation of schools and children. Cycloplegia was achieved using cyclopentolate hydrochloride 1%. Distance autorefraction was measured using the Shin-Nippon SRW-5000 device. Height and weight were measured. Parents and children completed a questionnaire, including questions on parental history of myopia, sociodemographic factors, childhood levels of near vision, and physical activity to identify potential risk factors for myopia. Myopia was defined as spherical equivalent ≤0.50 diopters (D) in either eye. RESULTS. Data from 661 white children aged 12-to 13-years showed that regular physical activity was associated with a lower estimated prevalence of myopia compared to sedentary lifestyles (odds ratio [OR] = 0.46 adjusted for age, sex, deprivation score, family size, school type, urbanicity; 95% confidence interval [CI], 0.23–0.90; P for trend = 0.027). The odds of myopia were more than 2.5 times higher among children attending academically-selective schools (adjusted OR = 2.66; 95% CI, 1.48–4.78) compared to nonacademically-selective schools. There was no evidence of an effect of urban versus nonurban environment on the odds of myopia. Compared to children with no myopic parents, children with one or both parents being myopic were 2.91 times (95% CI, 1.54–5.52) and 7.79 times (95% CI, 2.93– 20.67) more likely to have myopia, respectively. CONCLUSIONS. In NI children, parental history of myopia and type of schooling are important determinants of myopia. The association between myopia and an environmental factor, such as physical activity levels, may provide insight into preventive strategies.

Risk Factors of Central Venous Catheter Related Infections in Intensive Care Patients

2002 Mathematics Subject Classification: 62P10.

Overview of risk factors for age-related macular degeneration

Age related macular degeneration (AMD) is the leading cause of blindness in individuals older than 65 years of age. It is a multifactorial disorder and identification of risk factors enables individuals to make life style choices that may reduce the risk of disease. This review discusses the role of genetics, sunlight, diet, cardiovascular factors, smoking, and alcohol as possible risk factors for AMD. Genetics plays a more significant role in AMD than previously thought, especially in younger patients, histocompatibility locus antigen (HLA) and complement system genes being the most significant. Whether the risk of AMD is increased by exposure to sunlight, cardiovascular risk factors, and diet is more controversial. Smoking is the risk factor most consistently associated with AMD. Current smokers are exposed to a two to three times higher risk of AMD than non-smokers and the risk increases with intensity of smoking. Moderate alcohol consumption is unlikely to increase the risk of AMD. Optometrists as front-line informers and educators of ocular health play a significant role in increasing public awareness of the risks of AMD. Cessation of smoking, the use of eye protection in high light conditions, dietary changes, and regular use of dietary supplements should all be considered to reduce the lifetime risk of AMD.

Retinal vascular function and cardiovascular risk factors

The current platform of conventional cardiovascular risk assessments tends to forsake the importance of endothelial function - a key biological mechanism by which cardiovascular risk factors exert their propensity for adverse vascular events. Moreover, the presence and severity of endothelial dysfunction in ‘low-risk’ individuals suggests considerable variability in pre-clinical risk that could potentially be detected well before the onset of disease. The aim of the present thesis was to investigate the presence and impact of retinal vascular dysfunction, as a barometer of endothelial function, in otherwise healthy individuals with one or more cardiovascular risk factors, but low to moderate cardiovascular risk. Systemic circulatory influences on retinal vascular function were also evaluated. The principle sections and findings of this work are: 1. Ageing effect on retinal vascular function • In low-risk individuals, there are age differences in retinal vascular function throughout the entire functional response curve for arteries and veins. Gender differences mainly affect the dilatory phase and are only present in young individuals. 2. Retinal vascular function in healthy individuals with a family history of cardiovascular disease • In low-risk individuals with a family history of cardiovascular disease, impairments in microvascular function at the retinal level correlate with established plasma markers for cardiovascular risk. 3. Ethnic differences in retinal vascular function • When compared to age-matched White Europeans, in low-risk middle-aged South Asians, there are impairments in retinal vascular function that correlate with established cardiovascular risk indicators. 4. Systemic circulatory influences on retinalµvascular function • Systemic antioxidant capacity (redox index) and plasma markers for cardiovascular risk (lipids) influence retinal microvascular function at both arterial and venous levels. 5. Retinal vascular function in individuals with obstructive sleep apnoea: a preliminarystudy • Patients with moderate to severe sleep apnoea exhibit attenuated retinal vascular function.

Overview of risk factors for age-related macular degeneration (AMD)

Age related macular degeneration (AMD) is the leading cause of blindness in individuals older than 65 years of age. It is a multifactorial disorder and identification of risk factors enables individuals to make life style choices that may reduce the risk of disease. This review discusses the role of genetics, sunlight, diet, cardiovascular factors, smoking, and alcohol as possible risk factors for AMD. Genetics plays a more significant role in AMD than previously thought, especially in younger patients, histocompatibility locus antigen (HLA) and complement system genes being the most significant. Whether the risk of AMD is increased by exposure to sunlight, cardiovascular risk factors, and diet is more controversial. Smoking is the risk factor most consistently associated with AMD. Current smokers are exposed to a two to three times higher risk of AMD than non-smokers and the risk increases with intensity of smoking. Moderate alcohol consumption is unlikely to increase the risk of AMD. Optometrists as front-line informers and educators of ocular health play a significant role in increasing public awareness of the risks of AMD. Cessation of smoking, the use of eye protection in high light conditions, dietary changes, and regular use of dietary supplements should all be considered to reduce the lifetime risk of AMD.

Overview of risk factors for age-related macular degeneration (AMD)

Age related macular degeneration (AMD) is the leading cause of blindness in individuals older than 65 years of age. It is a multifactorial disorder and identification of risk factors enables individuals to make life style choices that may reduce the risk of disease. This review discusses the role of genetics, sunlight, diet, cardiovascular factors, smoking, and alcohol as possible risk factors for AMD. Genetics plays a more significant role in AMD than previously thought, especially in younger patients, histocompatibility locus antigen (HLA) and complement system genes being the most significant. Whether the risk of AMD is increased by exposure to sunlight, cardiovascular risk factors, and diet is more controversial. Smoking is the risk factor most consistently associated with AMD. Current smokers are exposed to a two to three times higher risk of AMD than non-smokers and the risk increases with intensity of smoking. Moderate alcohol consumption is unlikely to increase the risk of AMD. Optometrists as front-line informers and educators of ocular health play a significant role in increasing public awareness of the risks of AMD. Cessation of smoking, the use of eye protection in high light conditions, dietary changes, and regular use of dietary supplements should all be considered to reduce the lifetime risk of AMD.

Coronary heart disease risk factors among tri-ethnic students at Florida International University

The present study identified and compared Coronary Heart Disease (CHD) risk factors quantified as “CHD risk point standards” (CHDRPS) among tri-ethnic (White non-Hispanic [WNH], Hispanic [H], and Black non-Hispanic [BNH]) college students. All 300 tri-ethnic subjects completed the Cardiovascular Risk Assessment Instruments and had blood pressure readings recorded on three occasions. The Bioelectrical Impedance Analysis (BIA) was used to measure body composition. Students' knowledge of CHD risk factors was also measured. In addition, a 15 ml fasting blood sample was collected from 180 subjects and blood lipids and Homocysteine (tHcy) levels were measured. Data were analyzed by gender and ethnicity using one-way Analysis of Variance (ANOVA) with Bonferroni's pairwise mean comparison procedure, Pearson correlation, and Chi-square test with follow-up Bonferroni's Chi-square tests. ^ The mean score of CHDRPS for all subjects was 19.15 ± 6.79. Assigned to the CHD risk category, college students were below-average risk of developing CHD. Males scored significantly (p < 0.013) higher for CHD risk than females, and BNHs scored significantly (p < 0.033) higher than WNHs. High consumption of dietary fat saturated fat and cholesterol resulted in a high CHDRPS among H males and females and WNH females. High alcohol consumption resulted in a high CHDRPS among all subjects. Mean tHcy ± SD of all subjects was 6.33 ± 3. 15 μmol/L. Males had significantly (p < 0.001) higher tHcy than females. Black non-Hispanic females and H females had significantly (p < 0.003) lower tHcy than WNH females. Positive associations were found between tHcy levels and CHDRPS among females (p < 0.001), Hs (p < 0.001), H males (p < 0.049), H females (p < 0.009), and BNH females (p < 0.005). Significant positive correlations were found between BMI levels and CHDRPS in males (p < 0.001), females (p < 0.001), WNHs (p < 0.008), Hs (p < 0.001), WNH males (p < 0.024), H males (p < 0.004) and H females (p < 0.001). The mean knowledge of CHD questions of all subjects was 71.70 ± 7.92 out of 100. The mean knowledge of CHD was significantly higher for WNH males (p < 0.039) than BNH males. A significant inverse correlation (r = 0.392, p < 0.032) was found between the CHD knowledge and CHDRPS in WNH females. The researcher's findings indicate strong gender and ethnic differences in CHD risk factors among the college-age population. ^

Risk factors that predict maladaptive outcomes among sexually abused girls presenting for services at a community agency

The purpose of this study was to determine which factors predicted maladaptive outcomes in sexually abused children. Key factors were aggregated into four categories: abuse characteristics risk factors, individual-level risk factors, family disruption risk factors, and social disruption risk factors. It was hypothesized that (a) individual-level risk factors (e.g., school performance, child alcohol/substance abuse) and (b) abuse characteristics risk factors (e.g., longer duration/frequency of abuse, use of force/threats of force, intrafamilial abuse) would predict higher levels of trauma symptoms. Furthermore, it was hypothesized that (a) family disruption risk factors (e.g., family alcohol/substance use, family psychopathology) and (b) social disruption risk factors (e.g., parental divorce, homelessness, witnessing homicide or violence) would moderate the impact of prior sexual abuse and predict higher levels of trauma symptoms. ^ The participants were 110 female children (5 to 18 years old) presenting for treatment for sexual abuse at a community agency (The Journey Institute) in Miami, Florida. This study conducted a retrospective analysis of an archival data set collected over a three-year period (1998–2001). The measures completed upon intake included The Journey Psychosocial Assessment and The Trauma Symptom Checklist for Children (TSCC; Briere, 1996). Using Pearson correlations and hierarchical multiple regression analysis, this study found that abuse characteristics risk factors and individual-level risk factors were predictive of maladaptive outcomes in this sample of sexually abused girls. However, no moderating effects were found for family disruption risk factors or social disruption risk factors. Therefore, the results of these analyses provided support for the contention that abuse characteristics and individual-level risk factors were appropriate targets for treatment for sexually abused girls. Moreover, limitations of this study, implications for treatment, and directions for future research were discussed. ^

Risk factors of coronary heart disease and correlates of type 2 diabetes among Cuban Americans

Cuban Americans, a minority Hispanic subgroup, have a high prevalence of type 2 diabetes. Persons with diabetes experience a higher rate of coronary heart disease (CHD) compared to those without diabetes. The objectives of the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK) are to investigate the risk factors of CHD and the etiology of diabetes among diabetics of minority ethnic populations. No information is available on the etiology of CHD risks for Cuban Americans. ^ This cross-sectional study compared Cuban Americans with (N = 79) and without (N = 80) type 2 diabetes residing in South Florida. Data on risk factors of CHD and type 2 diabetes were collected using sociodemographics, smoking habit, Rose Angina, Modifiable Activity, and Willet's food frequency questionnaires. Anthropometrics and blood pressure (BP) were recorded. Glucose, glycated hemoglobin, lipid profile, homocysteine, and C-reactive protein were assessed in fasting blood. ^ Diabetics reported a significantly higher rate of angina symptoms than non-diabetics (P = 0.008). After adjusting for age and gender, diabetics had significantly (P < 0.001) larger waist circumference and higher systolic BP than non-diabetics. There was no significant difference in major nutrient intakes between the groups. One quarter of subjects, both diabetics and non-diabetics, exceeded the intake of percent calories from total fat and almost 60% had cholesterol intake >200 mg/d and more than 60% had fiber intake <20 gm/d. The pattern of physical activity did not differ between groups though, it was much below the recommended level. After adjusting for age and gender, diabetics had significantly (P < 0.001) higher levels of blood glucose, glycated hemoglobin, triglycerides, and homocysteine than non-diabetics. In contrast, diabetics had significantly (P < 0.01) lower levels of high-density lipoprotein cholesterol (HDL-C). ^ Multivariate logistic regression analyses showed that increasing age, male gender, large waist circumference, lack of acculturation, and high levels of triglycerides were independent risk factors of type 2 diabetes. In contrast, moderate alcohol consumption conferred protection against diabetes. ^ The study identified several risk factors of CHD and diabetes among Cuban Americans. Health care providers are encouraged to practice ethno-specific preventive measures to lower the burden of CHD and diabetes in Cuban Americans. ^

Risk factors for type 2 diabetes mellitus and cardiovascular diseases in Hispanic adolescents

This cross-sectional study evaluated risk factors (RF) for type 2 diabetes (T2DM) and cardiovascular diseases (CVD) in 100 Hispanic adolescents(50 overweight, 50 non-overweight) aged 12-16 years, and their associations with body mass index (BMI), diet, physical activity (PA), gender, and birth weight (BW). The RF studied were fasting plasma glucose (FPG), insulin sensitivity (IS), total cholesterol (TC), triacylglycerols (TG), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), acanthosis nigricans (AN), and blood pressure (BP). Dietary intakes were assessed using the Block Kids Questionnaire, fat-related intake behavior (FB) using the Fat-Related Diet Habits Questionnaire, and PA using the Modifiable Activity Questionnaire for Adolescents. Blood was collected after an overnight fast of 12 hours. All statistical analyses used SPSS 14.0. Overweight adolescents had presence of AN, higher BP, TC, TG, and LDL, and lower IS, ps < .001, as compared to non-overweight adolescents. Overweight adolescents were more likely to have 1 and 2 RF for T2DM and CVD as compared to having 0, ps < .001, and 2 RF as compared to having 1, p =.033. Adolescents with kilocalorie (Kcal) intake above requirements for age gender, and PA level were 4.6 times more likely to be overweight, p = .005. Overweight adolescents had worse FB, p = .011, and lower PA, p < .001. Adolescents with worse FB had higher BP, p = .016. Fiber below recommendations (14g/1,000 Kcal) was associated with being overweight, p = .012, and lower IS, p = .040. Adolescents with higher BW had higher FPG, p = .013. Our findings point to an association between being overweight and RF for T2DM and CVD, suggesting that overweight during adolescence may have serious health consequences for Hispanic adolescents. Also, our results indicate that Hispanic overweight adolescents eat more Kcal and less fiber than required, have worst FB, and less PA levels than their non-overweight counterparts. In addition, high BW and dietary habits of Hispanic adolescents, such as low fiber and FB, increase their risk for T2DM and CVD. We conclude that BMI can serve as a useful tool to identify Hispanic adolescents at risk for T2DM and CVD.

Risk factors of type 2 diabetes and cardiovascular diseases among Jamaican adolescents

Purpose. The purpose of the study was to examine Jamaican adolescents in a school setting, for risk factors of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVDs). Methods. A descriptive epidemiological cross-sectional study of 276 Jamaican adolescents (112 males and 164 females) ages 14-19 years (15.6±1.2), randomly selected from grades 9-12 from ten high schools on the island. Thirteen risk factors were examined. Risk factors were compared with BMI levels and demographics. A sub-study validated finger prick testing of fasting blood glucose, total cholesterol, and HbA1c versus venous testing in 59 subjects. Results. Prevalence of overweight was 33.0% (n=91) with mean BMI of 23.74±7.74. Approximately 66.7% of subjects reported ≥ 3 risk factors. The number of T2DM and CVDs risk factors increased for subjects with BMI above 25. One third of the overweight subjects were classified with the metabolic syndrome. High BMI was associated with high waist circumference (r = .767, p < .01), high waist-to-hip ratio (r = .180, p < .01), presence of Acanthosis Nigricans (r = .657, p < .01), high total cholesterol (r = .158, p < .01), family history of T2DM (r = .157, p < .01), and hypertension (r = .422, p < .01). Regression analyses significantly predicted gender and physical activity (p < .001), and total number of risk factors for T2DM and CVDs (p < .001). Paired samples t-tests revealed no significant differences between methods of testing for TC and HbA1c (p < .01) but not for FBG (p > .05). Percentage bias for the methods of blood testing met the reference standards for fasting blood glucose but not for total cholesterol and HbA1c. Bland Altman tests of agreement between the two methods indicated good agreement for all three tests. Conclusion. Jamaican adolescents are at high risk for T2DM and CVDs as seen in other study populations. Effective programs to prevent T2DM and CVDs are needed. Family history of diseases, anthropometric measures, and gender identified more subjects at risk than did the biochemical measures. Comparison between finger prick and venous blood methods suggested that finger prick is an adequate method to screen for risk factors in children and adolescents.

Glycemic control: Risk factors, quality of life, workforce participation, and mortality among US adults with type 2 diabetes

Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, (1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) .7%), borderline (HbA1c 7-8.9%), and poor (HbA1c .9%) glycemic control and potentially new risk factors (e.g. work characteristics), and (2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with glycemic control; and (3) using prospective data, assess the relationship between mortality risk and glycemic control in US adults with type 2 diabetes. Data from the 1988-1994 and 1999-2004 National Health and Nutrition Examination Surveys were used. HbA1c values were used to create dichotomous glycemic control indicators. Binary logistic regression models were used to assess relationships between risk factors, employment status and glycemic control. Multinomial logistic regression analyses were conducted to assess relationships between glycemic control and HRQOL variables. Zero-inflated Poisson regression models were used to assess relationships between missed work days and glycemic control. Cox-proportional hazard models were used to assess effects of glycemic control on mortality risk. Using STATA software, analyses were weighted to account for complex survey design and non-response. Multivariable models adjusted for socio-demographics, body mass index, among other variables. Results revealed that being a farm worker and working over 40 hours/week were risk factors for suboptimal glycemic control. Having greater days of poor mental was associated with suboptimal, borderline, and poor glycemic control. Having greater days of inactivity was associated with poor glycemic control while having greater days of poor physical health was associated with borderline glycemic control. There were no statistically significant relationships between glycemic control, self-reported general health, employment, and missed work. Finally, having an HbA1c value less than 6.5% was protective against mortality. The findings suggest that work-related factors are important in a person’s ability to reach optimal diabetes management levels. Poor glycemic control appears to have significant detrimental effects on HRQOL.^